for difficulty in primary middle high
do
    for size in 200 300 500 1000 1500
    do
        for model in RNN_TANH RNN_RELU GRU
        do
            python train.py \
                --emsize ${size} --nhid ${size} --tied --dropout 0.5 \
                --model ${model} \
                --cuda \
                --tvt_corpus ../data/${difficulty} \
                --model_dir models/${difficulty}/
        done
    done
done